The Expert Identity Cognition Model (EICM) frames expert cognition as an identity-structured negotiation process in which situational constraints are interpreted through internal tensions to produce stable value structures that guide judgment.
ACM Computing Surveys (CSUR) , volume=
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Selecting 50% of robot demonstrations by maximizing exposure to reusable primitive-transition patterns outperforms full-data training while halving training steps.
Ada-Diffuser is a causal diffusion model that jointly learns observed interaction structure and underlying latent dynamics from minimal observations for adaptive planning and policy learning.
OGPO enables sample-efficient full-finetuning of generative control policies via off-policy critics and modified PPO, achieving SOTA on robot manipulation tasks while rescuing poorly initialized behavior cloning policies without expert data.
SCoRe uses multi-turn online RL with regularization on self-generated traces to improve LLM self-correction, achieving 15.6% and 9.1% gains on MATH and HumanEval for Gemini models.
Empirical analysis shows scaling inference compute via strategies like tree search can be more efficient than scaling model parameters, with 7B models plus novel search outperforming 34B models.
Introduces the Expert Cognition Dashboard framework that organizes learner data into multi-level cognitive structures for AI Twin-driven personalized education.
citing papers explorer
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Modelling Expert Cognition Beyond Behaviour: Towards Interpretation, Tension, and Value Structures
The Expert Identity Cognition Model (EICM) frames expert cognition as an identity-structured negotiation process in which situational constraints are interpreted through internal tensions to produce stable value structures that guide judgment.
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SIEVE: Structure-Aware Data Selection for Imitation Learning with VLA Models
Selecting 50% of robot demonstrations by maximizing exposure to reusable primitive-transition patterns outperforms full-data training while halving training steps.
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Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
Ada-Diffuser is a causal diffusion model that jointly learns observed interaction structure and underlying latent dynamics from minimal observations for adaptive planning and policy learning.
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OGPO: Sample Efficient Full-Finetuning of Generative Control Policies
OGPO enables sample-efficient full-finetuning of generative control policies via off-policy critics and modified PPO, achieving SOTA on robot manipulation tasks while rescuing poorly initialized behavior cloning policies without expert data.
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Training Language Models to Self-Correct via Reinforcement Learning
SCoRe uses multi-turn online RL with regularization on self-generated traces to improve LLM self-correction, achieving 15.6% and 9.1% gains on MATH and HumanEval for Gemini models.
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Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
Empirical analysis shows scaling inference compute via strategies like tree search can be more efficient than scaling model parameters, with 7B models plus novel search outperforming 34B models.
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Expert Cognition Dashboard: From Learning Analytics to Cognition Intelligence in AI-Driven Education
Introduces the Expert Cognition Dashboard framework that organizes learner data into multi-level cognitive structures for AI Twin-driven personalized education.